Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective.
Yitong Ji|Aixin Sun|Jie Zhang|Chenliang Li
| Anthology ID: | DBLP:conf/ictir/JiSZL22 |
|---|---|
| Volume: | ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022 |
| Year: | 2022 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 92-97 |
| URL: | https://doi.org/10.1145/3539813.3545124 |
| DOI: | https://doi.org/10.1145/3539813.3545124 |
| DBLP: | conf/ictir/JiSZL22 |
| BibTeX: |
@inproceedings{ji-2022-loyal,
author = {Yitong Ji and
Aixin Sun and
Jie Zhang and
Chenliang Li},
editor = {Fabio Crestani and
Gabriella Pasi and
\'{E}ric Gaussier},
title = {{Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective}},
booktitle = {{ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022}},
pages = {92--97},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3539813.3545124},
doi = {https://doi.org/10.1145/3539813.3545124}
}